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An efficient causal ordering algorithm for multicast communication channels
SAUL EDUARDO POMARES HERNANDEZ
LUIS ALBERTO MORALES ROSALES
Acceso Abierto
Atribución-NoComercial-SinDerivadas
Immediate dependency relation
Causal ordering
Group communication
Distributed systems
In this paper, we present an efficient causal algorithm that can be used in multicast communication environments, in particular the overlapping multi-channel case, where a participant can belong to and communicate through more than one multicast channel. The causal algorithm is built on the paradigm of group communication. The groups are established according to the participant channel subscription. In order to reduce the amount of control information (CI), we propose an extension of the immediate dependency relation (IDR), which was introduced by Peterson in the context of one group. This IDR extension allows us to define necessary and sufficient CI to ensure causal delivery in a multi-group environment. We show that through the use of the IDR extension, we reduce the amount of CI sent per message without imposing restrictions on interaction or execution (e.g. network topology, rediffusion servers, execution models, etc.). These characteristics allow our algorithm to be suitable for use in large distributed decentralised systems. We show the efficiency of our causal algorithm in terms of the overhead timestamped per message.
Taylor & Francis
2010
Artículo
Inglés
Estudiantes
Investigadores
Público en general
Pomares-Hernandez, S.E., et al., (2010). An efficient causal ordering algorithm for multicast communication channels, International Journal of Parallel, Emergent and Distributed Systems, Vol. 25, (1): 17-36
CIENCIA DE LOS ORDENADORES
Versión aceptada
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Aparece en las colecciones: Artículos de Ciencias Computacionales

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